<aside> 🏆 Maxia AI helps businesses turn their data into valuable insights and predictions that will fuel their growth.

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Maxia specializes in building AI models that can help businesses. We know how to process and transform datasets from commonly-used technologies that businesses use, and use that data to train and validate AIs.

Maxia AI FAQ

1. What kind of AIs does Maxia offer?

   Maxia's recently launched an event and user prediction AI in beta, which is useful for analyzing user journeys and predicting important conversion events like signup or payment.

2. What data do Maxia's AIs need?

   Maxia's AI's work with structured analytics datasets. We recently launched Segment as the first connection, and more connections are coming soon.

3. How does the AI get designed, trained, tested and deployed?

   Maxia AI is currently a collaborative service, where users work with our team to discuss their business and AI opportunities, and Maxia designs, tests and deploys AI models on our platform. We'll work with you to explore your data, and identify the best opportunities for your business across the customer lifecycle.

   <aside> 🧠 Identifying the most valuable user actions to be predicting is key to achieving good business results from a machine learning project.

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   Maxia plans to build a fully self-serve, seamlessly integrated platform, to maximize your company's ability to leverage the power of AI built with your data to improve outcomes across the entire business. We want to support you, and get out of way so you run your AI-assisted business.

4. What does Maxia's AI do with my data?

   Maxia processes your analytics data to understand where the strongest signals can be found to build better AI models. We use multiple approaches, including:

   Seasonality Analysis - we analyze the seasonal component of your analytics data, using:

   • analytics timestamps
     • Do your users behave differently on weekends compared to weekdays?
     • Do your users behave differently at the start, end, or at another special time of the month?
     • Do your users behave differently at different times of the year?

   Historic Analysis - we analyze the historic component of your analytics data, using:

   • analytics timestamps
     • Has user behaviour changed over time?
     • Does historic data still provide insight into recent user behaviour?

   Behavioural Analysis - we analyze the behavioural component of your analytics data, where we often find useful insights from:

   • analytics events
     • Does this action provide insights into future user behaviour?
     • What are the different ways to best analyze this user action?
       • Has the user done this action recently?
       • How many times has the user done this action?
       • Are there any patterns in this user actions
         • streaks? (X days in a row)
         • trends? (X times in Y days)
     • What are the impacts of different events?
     • What are the impacts of different event properties?

   Trait Analysis - we analyze the trait component of your analytics data, where we often find useful insights from:

   • analytics user and metadata properties
     • does this property provide insight into future user behaviour?
     • what are the impacts of different values of the property?
     • what is the impact when the value of the property changes?

5. How do I access Maxia's AI?

   Maxia's predictions get sent back into the platform the you connected to using Maxia Warehouse.

   We also share the predictions and our insights in a secure online dashboard, which gives access to Maxia's analyses and predictions, so you can better understand your business and monitor the flow and quality of Maxia's predictions.